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Quantitative Software Developer Jobs in Texas (NOW HIRING)

All Options is looking for a Quantitative Trader to join our Trading team in our Austin, TX office ... Proficiency in programming (Python, C++, or others). * Ability to perform under pressure and remain ...

All Options is looking for a Quantitative Trader to join our Trading team in our Austin, TX office ... Proficiency in programming (Python, C++, or others). * Ability to perform under pressure and remain ...

All Options is looking for a Quantitative Trader to join our Trading team in our Austin, TX office ... Proficiency in programming (Python, C++, or others). * Ability to perform under pressure and remain ...

We're continuing to grow our US technology setup and are looking for a Software Developer to join ... We combine deep market expertise with advanced technology, quantitative models, and a data‑driven ...

We are engineers, operators, and creatives solving some of the most complex, interdisciplinary challenges of our time. About the Role We are seeking a Quantitative Trader to trade both Base's retail ...

S. in Computer Science, Math, Statistics, Engineering, or other quantitative field (or equivalent ... Previous experience with software engineering platforms such as AWS, Splunk, Datadog What We Offer ...

Quantitative Strategist (PhD)

Austin, TX · On-site

$175K - $200K/yr

THE ROLE As a Quant at Virtu, you will be working on interdisciplinary teams alongside traders, quants and seasoned software engineers. The environment is collegiate and collaborative, encouraging ...

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Quantitative Software Developer information

What is a quantitative software developer?

A Quantitative Software Developer is a professional who combines expertise in software engineering, mathematics, and finance to design, develop, and maintain systems that support quantitative analysis and trading. They work closely with quantitative analysts (quants) to implement complex financial models, optimize trading strategies, and process large datasets efficiently. Their role often involves using programming languages like Python, C++, or Java to build low-latency, high-performance applications for financial institutions such as banks, hedge funds, or trading firms. The position requires a strong background in computer science, familiarity with financial markets, and the ability to solve challenging technical problems.

What are the key skills and qualifications needed to thrive as a quantitative software developer?

To thrive as a Quantitative Software Developer, you need strong programming skills (often in Python, C++, or Java), a solid foundation in mathematics and statistics, and typically a degree in computer science, mathematics, engineering, or a related field. Familiarity with numerical libraries, data analysis tools, version control systems, and experience with financial modeling platforms are highly valuable. Analytical thinking, problem-solving abilities, and effective communication help you collaborate with cross-functional teams and interpret complex data. These skills are crucial for building robust quantitative models and software that drive data-driven decisions in finance and technology sectors.

How do quantitative software developers typically collaborate with quantitative analysts and traders?

Quantitative Software Developers work closely with quantitative analysts and traders to translate complex financial models into robust, production-ready code. This collaboration often involves regular meetings to discuss model requirements, performance optimization, and real-time data integration. Developers may also pair with analysts to validate outputs and ensure accuracy, while providing technical expertise on software architecture and best coding practices. Strong communication and teamwork skills are vital for successfully bridging the gap between quantitative research and practical trading solutions.

What is the difference between Quantitative Software Developer vs Quantitative Analyst?

AspectQuantitative Software DeveloperQuantitative Analyst
CredentialsDegree in Computer Science, Software Engineering, or related fieldsDegree in Finance, Economics, or Mathematics
Work EnvironmentDevelops trading algorithms, risk systems, and data infrastructureAnalyzes financial data, models market behavior, and advises on investment strategies
Employer & Industry UsageFinancial firms, hedge funds, trading desksInvestment banks, asset management firms, hedge funds
Common Search & ComparisonFocuses on software development skills and codingFocuses on financial modeling and data analysis

While both roles operate within the finance industry, a Quantitative Software Developer primarily focuses on building and maintaining software systems used for trading and risk management. In contrast, a Quantitative Analyst concentrates on analyzing financial data and developing models to inform investment decisions. Understanding these differences helps candidates target their skills and career goals effectively.

Are quantitative software developers in demand?

Quantitative software developers are in high demand due to their expertise in programming, data analysis, and financial modeling, especially in finance, technology, and data-driven industries. Their skills in languages like Python, C++, and knowledge of algorithms make them valuable for developing trading systems, risk management tools, and analytics platforms, leading to strong job growth prospects.
Infographic showing various Quantitative Software Developer job openings in Texas as of September 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution.

Quantitative Software Engineer

San Antonio, TX • On-site

Real Soft, Inc.
IT Services • 501 - 1,000 employees

Full-time

Re-posted 19 days ago


Job description

Description
We are looking for a talented Software Engineer to support the analysis and validation of mission critical and mission support data sets. The preferred candidate will have a background in supporting cyber and/or network related missions within the military spaces, as either a developer, analyst or engineer.
Requirements
Essential Job Responsibilities
  • The ideal candidate will have worked with big data systems, complex structured and unstructured data sets, and have supported government data acquisition, analysis, and/or sharing efforts in the past.
  • To excel in the position, the candidate shall have a strong attention to detail, be able to understand technical complexities, and have the willingness to learn and adapt to the situation.
  • The candidate will work both independently and as part of a team to accomplish client objectives.

Minimum Qualifications
  • Security Clearance-Current active TS, SCI eligible
  • 14 years of experience and a BS in Engineering, Computer Science, or technical degree or industry experience equivalent (+4 years relevant experience can substitute for a BS degree)
  • Experience with programming languages such as Python and Java.
  • Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable data analytics.
  • Familiarity with various log formats such as JSON, XML, and others.
  • Ability to decompose technical problems and troubleshoot system and dataflow issues.
  • Proficiency with Unix/Linux systems required: primary work environments is macOS.
  • Must be willing to achieve required skill certification promptly
  • Willingness to do a programming challenge during the interview process.
  • Place of Performance: either Columbia, MD or San Antonio, TX. Both positions would involve Hybrid work.

Desired Skills (Optional)
  • Experience with NOSQL databases such as Accumulo desired
  • CI Poly preferred
  • Experience developing with Kubernetes environments
  • Prior Experience supporting cyber and/or network security operations within a large enterprise, as either an analyst, engineer, architect, or developer.
  • Experience with data flow, management, and storage solutions (i.e. Kafka, NiFi, and AWS S3 and SQS solutions).
  • Familiarity with Agile Project team and task management environment.
  • Good communication skills
  • Experience with Zoom/Teams/Meet style team meetings